Docs / Data sources / Granola

Granola

Business software

Built when you ask for it

Sync Granola meeting, note, and transcript data into your warehouse. Ingest builds this connector the first time a customer asks for it, then keeps the tables current in a data warehouse you own, on the schedule you choose.

The Granola connector syncs your AI meeting-notes data into analytics-ready tables in your data warehouse. Pull meetings, notes, and transcripts from the Granola API, with Ingest handling auth, pagination, and retries so the tables stay current.

What you would get

Each of these arrives as its own table, kept current on the schedule you choose:

  • Meetings
  • Notes
  • Transcripts

How it gets built

  1. Choose Granola when you set up a pipeline, with the warehouse it goes to and a schedule.
  2. Ingest reads Granola's documentation, and you choose the tables you want.
  3. Ingest builds the connector and tests it against Granola itself.
  4. A person at Ingest reviews and publishes it, and your pipeline starts on its own.

What you will need

API key (Bearer token). Business-plan members can self-serve a personal key from the desktop app under Settings > Connectors > API keys; Enterprise plans need an admin to enable scopes first.

You enter it once, in a form in Ingest, and it is kept in a secret store set aside for your organization.

Questions

Does Ingest have a Granola connector?
Not as a finished connector yet. Ingest builds it from Granola's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
Which warehouses can Granola data go to?
Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL and Snowflake, in an account you own.
Do I need to write code?
No. Ingest builds, runs and maintains the connector. Someone with access to your warehouse connects it once, following a short guide.

Granola API documentation: https://docs.granola.ai/introduction

Setting up the destination is its own short guide, one per warehouse or lake: Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL, Snowflake.

Other sources Ingest connects for SaaS teams: Asana, Jira, Airtable, Clockify, Facebook Ads, Frankfurter.

Request Granola